To comp a property like a private lender, pull sold comps within a tight radius of the subject property, adjust for differences in size, condition, and amenities, apply a conservative as-is value, and stress-test that value against your loan-to-value threshold. The goal is not market-top accuracy — it is defensible collateral protection.

Key Takeaways

• Private lenders underwrite to the collateral first, borrower second — a strong comp analysis is the foundation of every sound loan decision.
• The comp radius, adjustment methodology, and comparable selection criteria all require documentation to support your position in a default scenario.
• As-is value matters far more than after-repair value for performing note underwriting; ARV belongs to the rehab lender’s world.
• Third-party valuation products (BPOs, desk reviews, full appraisals) reduce lender liability when comp data is thin or the subject is complex.
• A servicer who maintains collateral records and tracks property condition through the loan lifecycle protects your comp-based underwriting decision long after funding.

Step 1: Define Your Comp Criteria Before You Pull a Single Sale

Most lenders pull comps and then decide what they mean. Private lenders who hold notes for years flip that order — criteria first, data second. Before you open MLS, the county assessor database, or any AVM tool, write down the parameters you will use for this loan and this market.

For a standard 1-to-4 family residential property, the working criteria set includes: property type match (single-family detached, duplex, etc.), distance from subject, age of sale, gross living area range, bedroom and bath count range, and site size range. Secondary criteria — garage, basement, pool, condition grade — come into play during adjustment, not during initial filtering.

Document these criteria in your loan file before you pull data. If the deal goes to default and your collateral value is challenged, a lender who can show consistent, pre-defined underwriting criteria holds a stronger position than one who appears to have cherry-picked sales after the fact.

For properties in thin markets — rural areas, unique housing types, small towns with few sales — relax the distance and age-of-sale parameters incrementally and document each expansion. A comp from a neighboring market segment is better than no comp, provided you note the adjustment you applied and why. See how private mortgage valuation connects comp methodology to the full underwriting picture for note lenders.

Step 2: Pull Sold Comps from Multiple Data Sources

No single data source is complete. Private lenders who rely on one feed — whether MLS, Zillow, or a county assessor export — introduce blind spots that an opposing appraiser will find. Build your comp set from at least two independent sources and reconcile any discrepancies before you finalize your value conclusion.

MLS access through a licensed real estate agent or broker remains the most defensible primary source for residential comps in most markets. MLS data includes verified close prices, days on market, list-to-sale price ratios, and condition remarks that automated valuation models strip out. If you lack direct MLS access, engage a local agent as a referral resource — the cost is minimal compared to the risk of underwriting on AVM data alone.

County recorder and assessor databases provide actual deed transfer prices and are public record. They lag MLS by weeks to months but serve as an independent cross-check. In states where seller concessions must be disclosed, recorder data also reveals net-effective prices that differ from gross contract prices on MLS.

AVM tools — CoreLogic, ATTOM, Redfin, Zillow — function as screening tools, not valuation conclusions. Use them to identify candidate properties and to flag anomalies in your MLS-sourced comp set. Never cite an AVM output as your valuation basis in a loan file without supporting sold comp analysis.

Once you have candidates from multiple sources, deduplicate the list and move forward with the highest-quality data for each sale.

Step 3: Select the Three to Five Best Comparable Sales

A comp set of three to five sales is the standard for residential valuation across appraisal practice and private lending alike. Fewer than three sales leaves your value conclusion statistically thin. More than five signals that close matches were not available and you had to cast a wide net — which the data should show, not hide.

Rank your candidate pool by how closely each sale matches the subject on your pre-defined criteria. Properties that match on all primary criteria move to the top. Sales that require adjustment on multiple dimensions — size, age, condition, location — rank lower unless the market is thin and no better options exist.

Avoid the temptation to include sales that support a higher value while excluding sales that would pull value down. A lender who selects comps based on outcome rather than similarity creates a skewed basis for the loan decision and a vulnerable position in a dispute. Consistency and documented selection logic matter more than arriving at the highest defensible number.

For 1-to-4 family properties with clear subdivision comparables, three close sales is sufficient. For rural properties, unique designs, or markets with limited turnover, expanding to five or six sales with documented adjustments is appropriate. Private lender due diligence frameworks treat the comp set as a required file component, not an optional exhibit.

Step 4: Adjust Each Comp for Differences from the Subject

Adjustment is where lender discipline separates from casual price-checking. Every material difference between a comp sale and the subject property requires a dollar adjustment — added if the comp is inferior to the subject in that feature, subtracted if the comp is superior.

The most common adjustment categories in residential comping are: gross living area (price per square foot applied to the difference in size), bedroom and bathroom count, garage spaces, basement finishing, lot size when materially different, condition and quality grade, and location factors such as traffic exposure, view, or proximity to commercial uses.

Derive your adjustment amounts from market data, not estimates. The best source for a square footage adjustment is paired sales analysis — two recent sales of similar properties where the only material difference is size. The price difference between those sales divided by the size difference gives you a market-extracted adjustment rate. This approach is defensible because it uses actual buyer behavior rather than a lender’s assumption.

After applying all adjustments, each comp produces an adjusted sale price. The range of adjusted prices across your comp set defines the value bracket for the subject. Your as-is value conclusion sits within that bracket — weighted toward comps that required the fewest and smallest adjustments.

Document every adjustment with its basis. A grid format — subject in one column, each comp in subsequent columns, adjustments by line item — is standard practice and directly readable in a loan file or dispute proceeding.

Step 5: Establish Your As-Is Value Conclusion

After adjustments, you have a value bracket from your comp set. The as-is value conclusion is a single number within that bracket that represents the most probable price a willing buyer and seller would agree to if the property were listed today in its current condition.

Weight the conclusion toward comps that required fewer adjustments. A comp that needed only a minor size adjustment and matched the subject on all other criteria deserves more influence over the conclusion than a comp that required adjustments for size, condition, garage, and location. State the weighting logic in your file.

Private lenders frequently apply a conservative cushion below the midpoint of the value bracket, particularly in markets showing price softening or when the subject property has condition concerns. This is a credit policy decision, not an appraisal error. Document it as such: “Concluded value of $X reflects the lower end of the adjusted range due to deferred maintenance and a declining price trend in the subject’s submarket.” The word “conservative” alone is not sufficient — specificity is.

The as-is value drives your loan-to-value calculation. Your LTV threshold is a policy decision for your portfolio, but the as-is value it applies to must rest on documented comp analysis, not on an AVM output or a borrower-supplied estimate. Collateral protection for private notes depends on value conclusions that hold up under scrutiny.

Step 6: Stress-Test the Value and Document the File

Before you fund, run the value conclusion through a basic stress test: what happens to your collateral coverage if the market corrects and values decline by a meaningful amount? If the resulting LTV exceeds your policy threshold, the deal requires either a lower loan amount, additional collateral, or a pass.

The stress-test is not a prediction — it is a documentation of your risk awareness. Private lenders who can show that they evaluated downside scenarios before funding hold a stronger position with investors, note buyers, and legal counsel if a loan goes sideways.

Final file documentation for your comp analysis includes: the criteria defined in Step 1, the sources used in Step 2, the comp candidates and selection rationale from Step 3, the completed adjustment grid from Step 4, the value conclusion narrative from Step 5, and the stress-test summary. This package travels with the note if you sell it and protects you if the borrower defaults and the collateral value is litigated. Consult qualified legal counsel before taking enforcement action based on your collateral valuation in any jurisdiction where deficiency claims or redemption rights apply.

A professional servicer maintains the collateral record through the life of the loan — annual or periodic condition checks, insurance verification, and tax status monitoring — so the value you underwrote to remains traceable and the note remains defensible. Note servicing for private lenders covers how third-party servicing integrates with ongoing collateral management.

Expert Take: What Weak Comp Analysis Costs You at Default

Frequently Asked Questions

How many comps do I need to support a private loan decision?

Three to five sold comparables is the standard for residential 1-to-4 family properties. Three close matches with minimal adjustments produce a more defensible value conclusion than six distant matches requiring large adjustments. In thin markets where fewer sales exist, document why each comp was included and what adjustments were required to compensate for the differences from the subject.

Can I use an AVM instead of pulling comps manually?

Automated valuation models are screening tools, not valuation conclusions. AVMs lack the ability to adjust for condition, interior quality, or local market nuances that human review captures. Use AVM outputs to identify candidates and cross-check your findings, but base your loan file value on a documented comp analysis with an adjustment grid. Lenders who cite AVM outputs as sole valuation basis face significant exposure if the collateral value is challenged.

What is the difference between as-is value and after-repair value for a private lender?

As-is value reflects what the property sells for today in its current condition. After-repair value reflects what the property sells for after a defined scope of improvements is complete. Private lenders underwriting performing or seller-financed notes lend against as-is value. Hard money and bridge lenders financing renovation projects lend against a combination of as-is value and a portion of the projected improvement cost. Confusing the two produces inflated LTVs and under-secured loans.

How do I comp a property in a market with very few recent sales?

Expand your parameters incrementally and document each expansion. Start by relaxing the distance constraint, then extend the age-of-sale window, then include sales from adjacent but comparable market segments. Each expansion requires a notation in your file explaining why the standard parameters produced insufficient data. In extremely thin markets, a broker price opinion or desk appraisal from a licensed appraiser familiar with the area provides additional support for your conclusion.

Do I need a licensed appraisal for every private loan?

Federal law requires appraisals for most federally regulated transactions, but private lenders operating outside that regulatory umbrella have more flexibility. The decision to require a full appraisal, a broker price opinion, or a lender-prepared comp analysis is a credit policy decision. Higher loan amounts, complex properties, thin markets, and repeat-borrower situations with elevated risk all argue for third-party valuation. Consult qualified legal counsel to determine the valuation requirements that apply to your specific lending structure and jurisdiction.

Sources & Further Reading

• CFPB: What Is a Home Appraisal? — Consumer Financial Protection Bureau overview of residential appraisal requirements and standards
• The Appraisal Foundation — USPAP Standards — Uniform Standards of Professional Appraisal Practice — the baseline methodology for residential valuation
• Fannie Mae Selling Guide — Appraisal and Property Requirements — Industry standard for comparable selection, adjustment methodology, and documentation requirements